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The latest in drug discovery, from novel targets and screening tools through to automation and computational chemistry

Top R&D Stories of 2023

Through captivating articles, insight pieces, and spotlight interviews, we delve into the remarkable innovations, breakthroughs, and scientific marvels that have defined the landscape of research over the past year.
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Organ Modelling Discovery

Axion: Neural Organoids

Three-dimensional induced pluripotent stem cell (iPSC)-derived in vitro cell models, commonly referred to as spheroids, organoids, or “mini-brains”, more accurately recapitulate the multicellular organization and structure of in vivo tissues when compared to traditional monolayer cell cultures
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Target Based Discovery

Validation of an Impedance-based Cytotoxicity Assay for High Throughput Screening

High throughput screening requires careful validation of assay performance
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Neuroscience Discovery

Validation of a Structure-Function Assay for Neurotoxicity in Primary and hiPSC-Derived Neurons

Comprehensive, high-throughput, in vitro screening of the neurological effects of chemical compounds and drugs is vital for environmental and drug safety
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Medicinal Chemistry & Drug Design

Interview with Andrew Robertson, Vice President, Head of Global Regulatory Policy and Innovation at Takeda

Andrew Robertson, Vice President, Head of Global Regulatory Policy and Innovation at Takeda, talks about working with regulators and the current regulatory paradigm.
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Machine Learning for DNA Encoded Libraries

Our February Discovery Series discussion group centred on DNA Encoded Libraries (DEL). Using DEL enables the simultaneous screening of thousands of potential drugs against a target.
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Target Based Discovery

Axion: Cardiac Activity Assay

In vitro models are a proven powerful strategy for studying disorders of the human heart.
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Organ Modelling Discovery

Cellesce: Colorectal Cancer Organoid Lines

Cellesce’s technology enables the growth and expansion of Patient-Derived Organoids (PDOs)
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AI, Machine Learning & Computational Drug Design

Accuracy and Precision of Arrow Directionality in the Causaly Knowledge Graph

Causaly have developed an advanced machine-reading platform for semantic relationship extraction and comprehension
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Target Based Discovery

Axion: Teer With Maestro Z

High-throughput assessment of barrier function.
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Target Based Discovery

Axion: Virology Studies

Simpler, faster assays for infectious diseases
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Target Based Discovery

Axion MEA Plates

When your research requires insightful, high-quality data from microelectrode arrays (MEAs), Axion BioSystems’ MEA plates provide the right balance of throughput, electrode count, and ease of use for your experiments.
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AI, Machine Learning & Computational Drug Design

AI and ML for Target Validation & Lead Optimization

Jackie Hunter, Board Director at BenevolentAI, shares details on her company's unique approach to target Identification and lead optimisation.
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